论文部分内容阅读
提出了一种基于地面雨量计空间插值数据,从栅格单元、子流域以及全流域3种空间尺度上综合验证和比较卫星降水数据精度的方法.采用该方法,针对长江中下游赣江流域,以2003~2009年325个雨量站空间插值数据为基准,在日时间尺度上,综合评价了TRMM 3B42,TRMM 3B42RT,CMORPH,PERSIANN,GSMaP MWR+和GSMaP MVK+共6种高分辨率卫星降水数据的精度,揭示了精度指标的时空变化规律.结果表明经地面雨量计校正的3B42综合精度最高,在日均意义上略为高估了基准降水量,其他未经校正的5种数据均有较大程度低估.同时,6种数据在汛期的精度显著高于非汛期.随着时间尺度的扩展,卫星降水数据的精度有不同程度提高,其中3B42最明显.在赣江流域西部山区及北部山前区,卫星降水数据的精度较低,而在中部及东南部丘陵、盆地相对较高.随着空间尺度的扩展,6种数据的精度不断提高.本文为验证其他区域卫星降水数据精度提供了范例,并为进一步研究利用卫星降水数据分析流域水文过程提供了直接依据.
A method of verifying and comparing the accuracy of satellite precipitation data from three kinds of spatial scales in grid unit, sub-basin and whole basin was proposed based on the ground-based interpolation data of surface rain gauge.Through this method, in the middle and lower reaches of the Yangtze River, Based on the interpolation data of 325 rainfall stations from 2003 to 2009, the accuracy of precipitation data of 6 high-resolution satellites of TRMM 3B42, TRMM 3B42RT, CMORPH, PERSIANN, GSMaP MWR + and GSMaP MVK + was evaluated on a daily time scale , Revealing the spatial and temporal variation of the accuracy index.The results show that the 3B42 calibrated by the surface rain gauge has the highest comprehensive accuracy and slightly overestimates the baseline precipitation in the daily average sense and all the other uncorrected data are significantly underestimated At the same time, the precision of six kinds of data in flood season is significantly higher than that in non-flood season.With the expansion of time scale, the precision of satellite precipitation data is improved to some extent, of which 3B42 is the most obvious.In the mountainous area in the west of Ganjiang River Basin and the piedmont in the north, The precision of satellite precipitation data is lower, but in the central and southeastern hilly and basin, the accuracy of the six kinds of data is increasing as the spatial scale expands. Regional satellite precipitation data precision provides examples, and provide direct evidence for further study of hydrological analysis using satellite precipitation data.